Kernel vs Inferable
Detailed side-by-side comparison to help you choose the right tool
Kernel
🔴DeveloperAgent Infrastructure
Managed browser infrastructure purpose-built for AI agents — spin up isolated Chrome sessions in seconds, with recording, captcha handling, and persistent state.
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CustomInferable
🔴DeveloperAgent Infrastructure
An open-source platform for building durable, observable agent workflows that can invoke application functions while preserving operational control.
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CustomFeature Comparison
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Kernel - Pros & Cons
Pros
- ✓Eliminates the six-month infra project of running a production headless-Chrome pool
- ✓Works with existing Playwright / Puppeteer code — no SDK lock-in
- ✓Captcha + residential proxy handling meaningfully improves scraping success rates
- ✓Replay UI is a huge productivity win for debugging agent trajectories
- ✓Free hobby tier makes prototyping cheap
Cons
- ✗Usage-based pricing scales with browser-minutes — long-running research agents can get expensive fast
- ✗Managed service (no self-host) — regulated customers may need to wait for VPC deploy
- ✗Newer than Browserbase and Steel; smaller community for Stack Overflow-style questions
- ✗Captcha solving still probabilistic — some highly protected targets will fail
Inferable - Pros & Cons
Pros
- ✓Durability is useful when workflows outlive a single HTTP request
- ✓Approval gates help contain consequential tool actions
- ✓Self-hosting offers more infrastructure and data control
Cons
- ✗Operating a self-hosted control plane adds engineering burden
- ✗Function permissions and idempotency require careful application design
- ✗Hosted pricing and the current MCP implementation require manual verification
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